AWS Machine Learning Blog

NOVEMBER 3, 2023

m How it’s implemented In our quest to accurately determine shot speed during live matches, we’ve implemented a cutting-edge solution using Amazon Managed Streaming for Apache Kafka (Amazon MSK). We’ve implemented an AWS Lambda function with the specific task of retrieving the calculated shot speed from the relevant Kafka topic.

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AWS Machine Learning Blog

APRIL 19, 2023

Streaming ingestion – An Amazon Kinesis Data Analytics for Apache Flink application backed by Apache Kafka topics in Amazon Managed Streaming for Apache Kafka (MSK) (Amazon MSK) calculates aggregated features from a transaction stream, and an AWS Lambda function updates the online feature store.

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ML ML Apache Kafka SQL 98

Data Science Dojo

JULY 24, 2023

Amazon S3: Amazon Simple Storage Service (S3) is a scalable object storage service provided by Amazon Web Services (AWS). It provides fault tolerance and high throughput for Big Data storage and processing. It allows organizations to store and retrieve any amount of data, making it popular for storing and managing Big Data in the cloud.

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AWS Machine Learning Blog

JANUARY 6, 2023

TR wanted to take advantage of AWS managed services where possible to simplify operations and reduce undifferentiated heavy lifting. TR used AWS Glue DataBrew and AWS Batch jobs to perform the extract, transform, and load (ETL) jobs in the ML pipelines, and SageMaker along with Amazon Personalize to tailor the recommendations.

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Women in Big Data

OCTOBER 9, 2024

After this, the data is analyzed, business logic is applied, and it is processed for further analytical tasks like visualization or machine learning. Data Ingestion: Data is collected and funneled into the pipeline using batch or real-time methods, leveraging tools like Apache Kafka, AWS Kinesis, or custom ETL scripts.

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Big Data Big Data Apache Kafka Data Pipeline 59

ODSC - Open Data Science

FEBRUARY 6, 2024

Apache Kafka For data engineers dealing with real-time data, Apache Kafka is a game-changer. REGISTER NOW Data Orchestration and Workflow Management Apache Airflow Apache Airflow is renowned for its ability to build and schedule complex data pipelines.

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Data Engineering Data Engineering Data Engineering Data Engineer 52

Pickl AI

SEPTEMBER 18, 2024

As a pioneer in the streaming industry, Netflix utilises advanced data analytics to enhance user experience, optimise operations, and drive strategic decisions. It utilises Amazon Web Services (AWS) as its main data lake, processing over 550 billion events daily—equivalent to approximately 1.3 petabytes of data.

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Pickl AI

JULY 20, 2023

Top 15 Data Analytics Projects in 2023 for Beginners to Experienced Levels: Data Analytics Projects allow aspirants in the field to display their proficiency to employers and acquire job roles. However, you might be looking for a guide to help you understand the different types of Data Analytics projects you may undertake.

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Pickl AI

JULY 25, 2024

This is essential for applications that demand immediate insights, such as fraud detection or real-time analytics. By centralising data from disparate sources, organisations can ensure that they have a unified view of their information, which is vital for analytics, reporting, and decision-making.

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Pickl AI

DECEMBER 4, 2024

Summary: The future of Data Science is shaped by emerging trends such as advanced AI and Machine Learning, augmented analytics, and automated processes. Data privacy regulations will shape how organisations handle sensitive information in analytics. Continuous learning and adaptation will be essential for data professionals.

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Pickl AI

NOVEMBER 4, 2024

It involves developing data pipelines that efficiently transport data from various sources to storage solutions and analytical tools. OLAP (Online Analytical Processing): OLAP tools allow users to analyse data from multiple perspectives. ETL is vital for ensuring data quality and integrity.

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Data Engineering Data Engineering Data Engineering Data Engineer 52

DagsHub

OCTOBER 23, 2024

A central repository for unstructured data is beneficial for tasks like analytics and data virtualization. Tools and Techniques to Manage Unstructured Data Several tools are required to properly manage unstructured data, from storage to analytical tools. You also need the right technique to help manage unstructured data.

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The MLOps Blog

MARCH 15, 2023

Data Consumption : You have reached a point where the data is ready for consumption for AI, BI & other analytics. Data Storage : To store this processed data to retrieve it over time – be it a data warehouse or a data lake. The origins of a data pipeline connect it to the need for reusability and efficiency.

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The MLOps Blog

AUGUST 11, 2023

Apache Kafka, Amazon Kinesis) 2 Data Preprocessing (e.g., As usage increased, the system had to be scaled vertically, approaching AWS instance-type limits. Today different stages exist within ML pipelines built to meet technical, industrial, and business requirements. 1 Data Ingestion (e.g.,

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AWS Machine Learning Blog

APRIL 18, 2025

Solution overview: Build a generative AI stock price analyzer with RAG For this post, we implement a RAG architecture with Amazon Bedrock Knowledge Bases using a custom connector and topics built with Amazon Managed Streaming for Apache Kafka (Amazon MSK) for a user who may be interested to understand stock price trends.

Apache Kafka 101

Apache Kafka AWS Clustering Database 101

phData

MAY 15, 2025

This incredible capability is known as Real-Time Data Analytics , and it is revolutionizing the way we understand and utilize information. In this blog, we will uncover: What is real-time analytics, and why is it so important? How to implement a real-time analytics use case using AWS and Snowflake.

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AWS Machine Learning Blog

FEBRUARY 7, 2025

In this post, we dive deep into how CONXAI hosts the state-of-the-art OneFormer segmentation model on AWS using Amazon Simple Storage Service (Amazon S3), Amazon Elastic Kubernetes Service (Amazon EKS), KServe, and NVIDIA Triton. Our journey to AWS Initially, CONXAI started with a small cloud provider specializing in offering affordable GPUs.

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Pickl AI

FEBRUARY 23, 2025

Ultimately, leveraging Big Data analytics provides a competitive advantage and drives innovation across various industries. Competitive Advantage Organisations that leverage Big Data Analytics can stay ahead of the competition by anticipating market trends and consumer preferences.

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Pickl AI

MARCH 19, 2025

Python, SQL, and Apache Spark are essential for data engineering workflows. Real-time data processing with Apache Kafka enables faster decision-making. Apache Spark Apache Spark is a powerful data processing framework that efficiently handles Big Data.

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Data Engineering Data Engineering Data Engineering Data Engineer 52